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SOURCES/BOOKING.COM SEARCH

A Booking.com scraper for hotel search data

Scrape hotels and stays from Booking.com by location.

The Kavex Booking.com search scraper turns a location into a structured list of stays. Give it a city and it returns the properties Booking.com shows, each with its name, review score, review count, address and hotel URL. It is built for hospitality market research and competitive benchmarking.

Start this scraper 2 credits per property · charged on delivered rows only
What it costs
PER PROPERTY2 credits
IN DOLLARS$0.002
1,000 PROPERTIES$2.00
WHAT YOU PAY FORdelivered rows

A RUN OF 1,000 PROPERTIES ON THIS SOURCE, AT 2 PER PROPERTY

Example run
1,000 properties · Booking Search
Rows
1,000
Rate
2 / property
Credits
2,000
Cost
$2.00
01 · How you set it up

Say what you want. Read the price first.

Everything else is a ceiling or a filter. The estimate moves with the numbers you type, so the run never surprises you at the end.

NEW RUN · BOOKING.COM SEARCHDRAFT
What it does

For each location you provide, the scraper loads the Booking.com results and returns one row per property: name, guest review score, total review count, address, distance and the hotel URL.

Provide check-in / check-out dates and the nightly price is included too. A results page is around 25 properties.

LIVE ESTIMATE
Properties asked for1,000
Rate per property2 credits
Add-ons switched onnone
1,000 × 2 = 2,000 credits$2.00

Charged per delivered row. If the source holds fewer than you asked for, the rest of the credits go back to your balance the second the run ends.

02 · What a run costs

One thousand properties, itemised.

One line, because this source has nothing bundled on top. You pay the rate times the rows the run actually delivered.

LineRateUnitsCredits
Booking Search2 / property1,000 properties2,000
1,000 properties2 / property2,000 credits$2.00

$0.002 PER FINISHED PROPERTY · ONLY DELIVERED ROWS ARE BILLED

03 · Who runs it

What people point it at.

Four ways this source is used today. Every one of them is the same run, the same export and the same credit pool.

  • Hospitality research, size the supply and quality spread in a market.
  • Competitive benchmarking, compare review scores across an area.
  • Lead lists, build a structured property list for a destination.
05 · Questions

Asked before the first run.

Short answers, no accordion to click through. If something is still missing, the help pages go deeper.

What does each row contain?

Property name, review score, review count, address, distance and the Booking.com hotel URL.

Can I get prices?

Yes, add check-in and check-out dates, or use the dedicated Booking.com Prices scraper.

What input does it take?

A list of locations, one per line.

Point it at something. See what comes back.Your first 500 Google Maps leads are on the house. No card needed.
Start scraping free